code: def __init__(self, hidden_dim, output_dim):
      super().__init__()
      self.dense1 = layers.Dense(hidden_dim, activation="relu")
      self.dense2 = layers.Dense(hidden_dim, activation="relu")
      self.dense3 = layers.Dense(output_dim)
  
file_path: keras/examples/demo_subclass.py
imports: import numpy
  from keras import Model
  from keras import layers
  from keras import losses
  from keras import metrics
  from keras import optimizers
label_desc: Use image node_id 1 to create a new MyModel object from inherited base classes: Model with example: obj = MyModel(hidden_dim, output_dim)